We are seeking a talented and experienced Senior Applied Researcher to lead and contribute to high-visibility projects. This role requires deep expertise in machine learning a passion for research and development and the ability to effectively communicate complex ideas to cross-functional teams and partners. If you are a self-motivated energetic individual with a track record of delivering impactful results we want to hear from you!In this role you will:- Design and implement advanced machine learning models to optimize user experiences across Apples ecosystem including App Store Subscription services and marketing campaigns.- Collaborate with cross-functional teams to translate business objectives into technical solutions.- Lead research and development initiatives including LLM fine-tuning and the exploration of emerging AI technologies.- Analyze large-scale datasets to uncover actionable insights improve model performance and drive business impact.- Develop and evaluate prototypes proof-of-concepts and production-ready solutions.- Communicate findings and recommendations effectively to technical and non-technical audiences including leadership and business partners.- Contribute to the teams research goals by authoring publications and filing patents in alignment with Apples innovation standards.- Mentor junior researchers and foster a culture of collaboration innovation and excellence within the team.
Ph.D. in Machine Learning Computer Science Mathematics Statistics or a related field or equivalent work experience
Advanced expertise in machine learning deep learning and data mining techniques.
Proficiency in Python and/or Scala for building training and deploying machine learning models for complex high-dimensional systems.
Experience with large-scale distributed data processing frameworks such as Spark or Hadoop.
Strong programming skills and experience with production-level algorithm development.
Exceptional communication skills with the ability to present technical concepts and results to diverse audiences.
Highly self-motivated and results-driven with a proven ability to thrive in fast-paced dynamic environments.
Familiarity with reinforcement learning and advanced optimization techniques.
Experience with personalization systems recommendation engines or ranking algorithms.
Strong understanding of state-of-the-art LLMs and deployment for real-world applications.
Knowledge of marketing analytics user segmentation and customer lifetime value modeling.
Prior experience in payment science subscriptions or App Store analytics.
A strong history of paper publications in well-known journals or top-tier conferences in machine learning and AI.
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.